Search for dissertations about: "energy data"
Showing result 1 - 5 of 2761 swedish dissertations containing the words energy data.
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1. Urban Building Energy Modeling for Retrofit Scenarios : Development, Calibration, Validation and Implementation for Swedish Residential Buildings
Abstract : The necessity for an accelerated transition of urban energy systems and, in particular, the building sector toward energy efficiency and carbon neutrality poses new challenges to planning and retrofitting existing buildings. To cope with these challenges, so-called urban building energy models (UBEMs) have been introduced for quantifying the energy demand in the building sector, identifying the hot spots of energy use and suggesting scenarios for retrofitting the buildings. READ MORE
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2. Advancing urban analytics for energy transitions : Data-driven strategic planning for citywide building retrofitting
Abstract : Decarbonisation of the building stock is essential for energy transitions towards climate-neutral cities in Sweden, Europe and globally. Meeting 1. READ MORE
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3. Energy transition in transportation : Applying TIMES-based energy system optimisation models to sub-national levels
Abstract : Transportation is embedded in the fabric of society and a key enabler of socio-economic development, but it is also a major source of carbon dioxide (CO2) and local air pollution (AP). Cities collectively account for around three quarters of total energy-related CO2 emissions, and the negative health impacts from local APs are most felt in dense urban environments. READ MORE
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4. Energy Management in Large scale Solar Buildings : The Closed Greenhouse Concept
Abstract : Sustainability has been at the centre of global attention for decades. One of the most challenging areas toward sustainability is the agricultural sector. Here, the commercial greenhouse is one of the most effective cultivation methods with a yield per cultivated area up to 10 times higher than for open land farming. READ MORE
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5. Applications of artificial neural networks for time series data analysis in energy domain
Abstract : With the development of artificial intelligence techniques and increased installation of smart meters in recent years, time series analysis using historical data in the energy domain becomes applicable. In this thesis, microdata analysis approaches are used, which consist of data acquisition, data processing, data analysis and data modelling, aiming to address two research problems in the energy domain. READ MORE